Dynamic Texture Similarity Criterion

0492503 - ÚTIA 2019 RIV US eng C - Conference Paper (international conference)
Richtr, Radek - Haindl, Michal
Dynamic Texture Similarity Criterion.
The 24th International Conference on Pattern Recognition (ICPR 2018). New York: IEEE, 2018, s. 904-909. ISBN 978-1-5386-3787-6.
[The 24th International Conference on Pattern Recognition (ICPR 2018). Beijing (CN), 20.08.2018-24.08.2018]
Institutional support: RVO:67985556
Keywords : Dynamic texture * Similarity criterion
OECD category: Automation and control systems
http://library.utia.cas.cz/separaty/2018/RO/haindl-0492503.pdf

Dynamic texture similarity ranking is a challenging and still unsolved problem. Evaluation of how well are various dynamic textures similar to humans perception viewis extremely difficult even for static textures and requires tedious psycho-physical experiments. Human perception principles are largely not understood yet and the dynamic texture perception is further complicated with a distinct way of perceiving spatial and temporal domains, which complicates any similarity criterion definition. We propose a novel dynamic texture criterion based on the Fourier transformation and properties of dynamic texture spatiotemporal frequencies. The presented criterion correlates well with performed psycho-physical tests while maintaining sufficient diversity and descriptiveness.
Permanent Link: http://hdl.handle.net/11104/0286555